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#### Is your feature request related to a problem? Please describe
Currently, I am working in a method comparison project. Basically, we want to asess the agreement between two methods for measuring …
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In https://github.com/GeostatsGuy/DataScience_Interactive_Python/blob/main/Interactive_Model_Fitting.ipynb
the bullets (near the top) for "Ordinary Least Squares Fitting" and "Maximum Likelihood Fitt…
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#### Describe the bug
When using large values for linear regression, statsmodels fails to correctly model the data. It seems to want the line to pass through the intercept when it shouldn't (despit…
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### Checklist
- [X] I have searched the [existing issues](https://github.com/streamlit/streamlit/issues) for similar feature requests.
- [X] I added a descriptive title and summary to this issue.
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I'm currently implementing a Poisson regression model for survival data and I need to use the offset term for the count in that category. I've previously noted that the rms regression functions tend t…
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Regression line in Moran's plot should be modelled as using lag as independent and z score as dependent. Right now it is the other way, that is why the regression line does not indicate the value of M…
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I'm wondering if it is possible to get residuals from the fit object of a `statsmodels.regression.rolling.RollingOLS` model? Something akin to `statsmodels.regression.linear_model.RegressionResultsWra…
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Currently it seems like this
OLS linear -> ridge regression -> lasso regression -> elasticnet regression -> nuclear norm regularization
but what is nuclear norm regularization?
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#### Describe the bug
After fitting an OLS regression model and using remove_data() to reduce the model size, when I try to summarize the results using statsmodels.iolib.summary2.summary_col() I ge…
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outlier influence and similar regression diagnostics might still have some inefficient computations.
(I improved those as I semi-randomly found computational shortcuts)
article that summarizes sev…